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Power BI, Snowflake, Snowsight, Python, R, Big Data, Business Intelligence, Cognos, Report Builder, Azure, R, DAX, Microsoft BI, Proficiency in SQL, DAX, scripting languages such as R and Python, experience with Cloud platforms, especially Azure, and Big Data platforms, particularly Snowflake.
$165,000 - $190,000 a yearFull-timeExpandUpdated Today - UpvoteDownvoteShare Job
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Come join First American's Digital Title Group, newly formed to re-imagine and digitize the title search and examination process through Big Data, AI, document automation and modern, cloud-native application development.
ExpandApply NowActive JobUpdated 8 days ago - UpvoteDownvoteShare Job
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Experience with big data technologies such as Snowflake, Hadoop, Spark, Airflow, or Flink. Our engineering team at OpenSea is in search of a strong, driving, but curiousData Engineer to take charge of our data replication, ETL, and warehousing infrastructure to empower our core user experiences, trust & safety models, and business intelligence use cases.
ExpandApply NowActive JobUpdated 9 days ago - UpvoteDownvoteShare Job
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Familiarity with cloud-based platforms (e.g. AWS) and big data processing tools (e.g. Apache Spark) Proficiency in Python programming language, and expertise in relevant NLP and deep learning libraries and frameworks (e.g. TensorFlow, PyTorch, Spacy, langchain.
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Demonstrated experience developing and applying NLP techniques (e.g. LLM, transformers, embeddings, topic models) to relevant use cases (NER, Q&A, document summarization/classification, text generation, sentiment analysis, semantic search.
$126,610 - $215,270 a yearFull-timeExpandApply NowActive JobUpdated 21 days ago - UpvoteDownvoteShare Job
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Net, Python; Data Technologies: Oracle, Cassandra, Elastic Search, Aurora, NiFi, Cribl.io LogStream, Splunk, Hadoop, Tensorflow, Jupyter. Demonstrate expert-level knowledge/experience in Big data and Cloud technologies: Spark ML, Splunk, Elastic Search, Apache NiFi, AWS Glue, Cribl.io Logstream, and Hadoop.
ExpandApply NowActive JobUpdated 6 days ago - UpvoteDownvoteShare Job
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Experience building production systems with more modern ETL and data systems, such as AWS Glue, Databricks, Snowflake, Elastic, and Azure Cognitive Search. Implement data-related business logic on modern data platforms, such as AWS Glue, Databricks, Snowflake, Elastic, and Azure Cognitive Search using best practices and industry standards.
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Any level of experience with Lead design and development of the Big Data Analytics Platform by gathering requirements from the various stakeholders and converting it to technical design and implementation using various Big Data technologies like Apache Spark, Mapreduce, Mongodb etc and programming languages like Java, Scala, Python and build and maintain search related product using technologies including Lucene and Elasticsearch.
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10+ years direct experience in Data Engineering with experience in tools such as: Big data tools: Hadoop, Spark, Kafka, etc. Search tools: Solr, Lucene, Elasticsearch Object-oriented/object function scripting languages: Python, Java, C.
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Strong expertise and working knowledge in data analysis, statistical modeling, and data visualization tools (e.g., Google Looker, BigQuery, Python, R, SQL, Tableau, etc. Lead and collaborate with internal agency teams, including account strategy, paid media, social media, public relations, search engine optimization, and UX/UI design / development teams, to identify data-driven opportunities and extract meaningful insights.
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Experience working with big data systems (Spark, EMR, Kafka, S3, Airflow) and programming languages (Java, Scala, or Python). Good understanding of system architecture, including experience with big data technologies, streaming architecture, and data pipelines.
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Cloud Platforms: Experience with cloud platforms like AWS, Azure, or Google Cloud Platform, and their big data services (e.g., Amazon EMR, Azure HDInsight, Google Cloud Dataproc). Containerization and Orchestration: Familiarity with containerization (Docker) and orchestration tools (Kubernetes) for deploying and managing big data applications.
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Experienced in developing large scale enterprise applications using Big Data open-source solutions such as Hadoop, Spark, Kafka, and Elastic Search. Job Profile : Data Engineer : Scala/Cassandra/Python.
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Optimization: Proficiency in optimizing big data applications for performance, throughput, and resource utilization. Data Processing: Strong understanding of data processing frameworks like Apache Spark, Apache Flink, Apache Beam, or Hadoop MapReduce.
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Grid Dynamics provides digital transformation consulting and implementation services in omnichannel customer experience, big data analytics, search, artificial intelligence, cloud migration, and application modernization.
ExpandApply NowActive JobUpdated 9 days ago
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